The Importance of Adapting Functional Test Instructions for Older Adults with Neurocognitive Disorders
Bibliographic record
Abstract
Aims: The assessment of the risk of falling in geriatric rehabilitation is often using standardized functional tests, which may be more complex but less representative in older adults with a neurocognitive disorder. The conceptual aim of this manuscript was thus to discuss the impact of adapted instructions on physical performance during standardized functional tests for older with neurocognitive disorders (NCD). Methods: Six topics were addressed: 1) current and global profile of falls in older, 2) fall assessment, 3) neurocognitive disorders in the older adults, 4) relationship between cognitive impairment and functional performance, 5) impact of the instructions on functional assessments in an older population, and finally 6) an overview of the future perspectives on possible adaptations for functional assessments in older adults with NCD. Conclusions: We believe that it is realistic and feasible to address adapted instructions to patients with NCD in clinical settings to optimize their assessment of their risk of falling.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".